💻 Try the Codelab → https://goo.gle/4qH2Ady
Stop deploying manually. Watch along and learn how to use the Gemini CLI and Google’s new Model Context Protocol (MCP) servers to migrate and deploy a full stack application agentically.
Move beyond simple code generation and see how to chain multiple MCP servers together to act as an intelligent DevOps engineer. This is the future of agentic DevOps on Google Cloud.
Watch along and learn:
1️⃣ Architecting: Using the Developer Knowledge MCP to analyze requirements and identify the best database for our app.
2️⃣ Provisioning & migration: Using the Cloud SQL MCP to create a Cloud SQL instance and migrate our local data automatically.
3️⃣ Deployment: Using Cloud Run to containerize and ship the "AllStrides" full stack app to production.
⏱️ Timestamps:
00:00 – Introduction
00:51 – Configure Google MCPs with Gemini CLI
02:00 – How to list Google MCP tools
03:18 – Use Developer Knowledge MCP server
04:09 – Use Cloud SQL MCP server
05:34 – Use Cloud Run MCP server
🚀 Resources & Links:
📂 Get the code (AllStrides example) → https://goo.gle/3MD64zU
💻 Try the Codelab → https://goo.gle/4qH2Ady
📚 Google MCP documentation → https://goo.gle/46guwxE
📰 Read the launch blog → https://goo.gle/4azuB0B
Speaker: Smitha Kolan
Products Mentioned: Cloud Run, Cloud SQL, Gemini CLI, Model Context Protocol
